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140122 ||| eng |
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|a 9783540450634
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|a Rangarajan, Anand
|e [editor]
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|a Energy Minimization Methods in Computer Vision and Pattern Recognition
|h Elektronische Ressource
|b 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings
|c edited by Anand Rangarajan, Mário A. T. Figueiredo, Josiane Zerubia
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250 |
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|a 1st ed. 2003
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260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2003, 2003
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300 |
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|a XI, 534 p
|b online resource
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|a A Fast GEM Algorithm for Bayesian Wavelet-Based Image Restoration Using a Class of Heavy-Tailed Priors -- Diffusion Tensor MR Image Restoration -- A MAP Estimation Algorithm Using IIR Recursive Filters -- Estimation of Rank Deficient Matrices from Partial Observations: Two-Step Iterative Algorithms -- Contextual and Non-combinatorial Approach to Feature Extraction -- Graphs and Graph-Based Methods -- Generalizing the Motzkin-Straus Theorem to Edge-Weighted Graphs, with Applications to Image Segmentation -- Generalized Multi-camera Scene Reconstruction Using Graph Cuts -- Graph Matching Using Spectral Seriation
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505 |
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|a Segmentation and Grouping -- Semi-supervised Image Segmentation by Parametric Distributional Clustering -- Path Variation and Image Segmentation -- A Fast Snake Segmentation Method Applied to Histopathological Sections -- A Compositionality Architecture for Perceptual Feature Grouping -- Using Prior Shape and Points in Medical Image Segmentation -- Separating a Texture from an Arbitrary Background Using Pairwise Grey Level Cooccurrences -- Shape Modelling -- Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach -- Geometric Analysis of Continuous, Planar Shapes -- Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling -- Definition of a Signal-to-Noise Ratio for Object Segmentation Using Polygonal MDL-Based Statistical Snakes -- Restoration and Reconstruction.-Minimization of Cost-Functions with Non-smooth Data-Fidelity Terms to Clean Impulsive Noise --
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505 |
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|a Unsupervised Learning and Matching -- Stochastic Search for Optimal Linear Representations of Images on Spaces with Orthogonality Constraints -- Local PCA for Strip Line Detection and Thinning -- Curve Matching Using the Fast Marching Method -- EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching -- Information Force Clustering Using Directed Trees -- Watershed-Based Unsupervised Clustering -- Probabilistic Modelling -- Active Sampling Strategies for Multihypothesis Testing -- Likelihood Based Hierarchical Clustering and Network Topology Identification -- Learning Mixtures of Tree-Unions by Minimizing Description Length -- Image Registration and Segmentation by Maximizing the Jensen-Rényi Divergence -- Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications -- Maximum Entropy Models for Skin Detection -- Hierarchical Annealing for Random Image Synthesis -- On Solutions to Multivariate Maximum ?-Entropy Problems --
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653 |
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|a Computer graphics
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653 |
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|a Computer science
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653 |
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|a Computer vision
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653 |
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|a Computer Graphics
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653 |
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|a Artificial Intelligence
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653 |
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|a Algorithms
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653 |
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|a Computer Vision
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653 |
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|a Artificial intelligence
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653 |
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|a Theory of Computation
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653 |
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|a Automated Pattern Recognition
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653 |
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|a Pattern recognition systems
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700 |
1 |
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|a Figueiredo, Mário A. T.
|e [editor]
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700 |
1 |
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|a Zerubia, Josiane
|e [editor]
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b SBA
|a Springer Book Archives -2004
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490 |
0 |
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|a Lecture Notes in Computer Science
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028 |
5 |
0 |
|a 10.1007/b11710
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856 |
4 |
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|u https://doi.org/10.1007/b11710?nosfx=y
|x Verlag
|3 Volltext
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082 |
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|a 006.37
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